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jane street too btw.

the hyper scalars are buying huge AMD they figured out how to do inference on them with out great software bugs. but on an average nividia is beating them out ! google is on a different level though.

can this be done on a tesla ?

can use collaborated list to remove the random numbers that failed already.

That's gonna be a nice storage bill!

Let's see...2^241 or so possible 256 bit numbers, so that's 256 * 2^241, so that's....10^50 yottabytes. Obviously we're gonna need cloud storage for all this, so let's say that's about 2 cents per gigabyte/month, so that's...2.2614 × 10^63 dollars per month?

Actually, why does the site list the odds as ~1 in 5.27 × 10⁷²? That's 2^241, but it's picking random 256 bit numbers. Is it because there are so many valid hits?


Since you're at it, if you're also curious, what would be the energy cost of trying all of them, considering the average power used by a random computer today? Are we looking at something like an average quasar total contained energy?

> Obviously we're gonna need cloud storage for all this

You can keep a comprehensive list of "all 256-bit numbers tried so far" in 256 bits of storage.


If Advent of Code has taught me anything it’s that interval ranges can be really useful for this kind of thing. I mean at least twice in ten years. We just need to figure out how to coordinate individuals attempts to make it storage efficient.

kalashi is coming

???

<https://www.wisdomlib.org/definition/kalashi> is best I can find, doesn't seem relevant.


is there a vested interest for usa and our war partner ?

now do china


need bannedby reddit for the comment posted !


instead buy it and show the horror things ! may be focus on politicians who can be swayed with this data !


AI moderation / adblock is the future !


yea it could be the future


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